Research Square (Research Square),
Journal Year:
2022,
Volume and Issue:
unknown
Published: Aug. 3, 2022
Abstract
Recent
studies
have
shown
that
functional
connectivity
can
be
decomposed
into
its
exact
framewise
contributions,
revealing
short-lived,
infrequent,
and
high-amplitude
time
points
referred
to
as
``events.''
Although
events
contribute
disproportionately
the
time-averaged
pattern,
improve
identifiability
brain-behavior
associations,
been
linked
endogenous
hormonal
fluctuations
autism,
their
origins
remain
unclear.
Here,
we
address
this
question
using
two
independently-acquired
imaging
datasets
in
which
participants
passively
watched
movies.
We
find
synchronize
across
individuals
based
on
level
of
synchronization,
categorized
three
distinct
classes:
those
at
boundaries
between
movies,
during
do
not
all.
boundary
events,
compared
other
categories,
exhibit
greater
amplitude,
co-fluctuation
patterns,
temporal
propagation.
show
underlying
is
a
specific
mode
involving
activation
control
salience
systems
alongside
deactivation
visual
systems.
Finally,
strong
positive
relationship
similarity
time-locked
patterns
propensity
for
frames
involve
synchronous
events.
Collectively,
our
results
suggest
spatiotemporal
properties
are
non-random
locked
time-varying
stimuli.
Advanced Science,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Feb. 7, 2025
Classroom
teaching
is
essential
for
cognitive
development
and
cultural
evolution,
yet
its
neurocognitive
mechanisms
remain
unclear.
Here,
this
explored
in
a
university
graduate
course
by
combining
wearable
functional
near-infrared
spectroscopy
(fNIRS)
machine
learning
models.
The
results
show
that
blended
involving
both
students'
recalling
teachers'
lecturing
leads
to
better
outcomes
than
alone.
Moreover,
during
the
same
phase,
induces
knowledge
construction
middle
frontal
cortex
(MFC),
while
alone
representation
right
temporoparietal
junction
(TPJ),
with
former
significantly
correlating
final
outcomes.
Additionally,
MFC's
begins
earlier
but
facilitated
later
lecturing.
Finally,
when
teacher's
TPJ
activity
precedes
of
MFC,
significant
teacher-student
neural
synchronization
observed
correlated
These
findings
suggest
that,
real
classroom
teaching,
MFC
serves
as
hub
rapid
cortical
process,
supporting
through
projection
from
TPJ.
NeuroImage,
Journal Year:
2025,
Volume and Issue:
unknown, P. 121180 - 121180
Published: March 1, 2025
Recent
studies
demonstrate
that
the
brain
parses
natural
language
into
smaller
units
represented
in
lower-order
regions
and
larger
higher-order
regions.
Most
of
these
studies,
however,
have
been
conducted
on
unidirectional
narrative
speech,
leaving
linguistic
hierarchy
its
cortical
representation
bidirectional
conversational
speech
unexplored.
To
address
this
gap,
we
simultaneously
measured
activity
from
two
individuals
using
functional
near-infrared
spectroscopy
(fNIRS)
hyperscanning
while
they
engaged
a
naturalistic
conversation.
Using
Pre-trained
Language
Model
(PLM)
Representational
Similarity
Analysis
(RSA),
demonstrated
jointly
produced
by
interlocutors
turn-taking
manner,
exhibits
hierarchy,
characterized
boundary
effect
between
an
incremental
context
effect.
Furthermore,
gradient
pattern
shared
was
identified
at
dyadic
rather
than
individual
level.
Interpersonal
neural
synchronization
(INS)
left
superior
temporal
cortex
associated
with
turn
representation,
whereas
INS
medial
prefrontal
linked
to
topic
representation.
These
findings
further
validated
distinctiveness
different
sizes.
Together,
our
results
provide
original
evidence
for
underlying
architecture
during
conversation,
extending
hierarchical
nature
speech.
Journal of Neuroscience,
Journal Year:
2024,
Volume and Issue:
unknown, P. e2220232024 - e2220232024
Published: March 25, 2024
Human
neuroimaging
studies
of
episodic
memory
retrieval
routinely
observe
the
engagement
specific
cortical
regions
beyond
medial
temporal
lobe.
Of
these,
parietal
cortex
(MPC)
is
particular
interest
given
its
distinct
functional
characteristics
during
different
tasks.
Specifically,
while
recognition
and
autobiographical
recall
tasks
are
both
used
to
probe
retrieval,
these
paradigms
consistently
drive
spatial
patterns
response
within
MPC.
However,
other
have
emphasized
alternate
MPC
dissociations
in
terms
brain
network
connectivity
profiles
or
stimulus
category
selectivity.
As
unique
contributions
remain
unclear,
adjudicating
between
accounts
can
provide
better
consensus
regarding
function.
Therefore,
we
a
precision-neuroimaging
dataset
(7T
magnetic
resonance
imaging)
examine
how
differentially
engaged
task-related
may
also
reflect
profiles.
We
observed
interleaved,
though
spatially
distinct,
subregions
where
responses
were
sensitive
either
decisions
semantic
representation
stimuli.
In
addition,
this
dissociation
was
further
accentuated
by
displaying
with
hippocampus
task
rest.
Finally,
show
that
recent
observations
dissociable
person
place
selectivity
category-specific
from
identified
mnemonic
demands.
Together,
examining
precision
mapping
individuals,
data
suggest
previously
conform
common
principle
organization
throughout
hippocampal-neocortical
systems.
Data in Brief,
Journal Year:
2022,
Volume and Issue:
46, P. 108788 - 108788
Published: Nov. 29, 2022
Whole-brain
functional
magnetic
resonance
imaging
(fMRI)
data
from
twenty
healthy
human
participants
were
collected
during
naturalistic
movie
watching
and
free
spoken
recall
tasks.
Participants
watched
ten
short
(approximately
2
-
8
min)
audiovisual
movies
then
verbally
described
what
they
remembered
about
the
in
their
own
words.
Participants'
verbal
responses
audio
recorded
using
an
MR-compatible
microphone.
The
recordings
transcribed
timestamped
by
independent
coders.
neural
behavioral
organized
Brain
Imaging
Data
Structure
(BIDS)
format
made
publicly
available
via
OpenNeuro.org.
dataset
can
be
used
to
explore
bases
of
memory
other
cognitive
functions
including
but
not
limited
visual/auditory
perception,
language
comprehension,
speech
generation.
Journal of Cognitive Neuroscience,
Journal Year:
2024,
Volume and Issue:
36(11), P. 2442 - 2454
Published: Jan. 1, 2024
Abstract
Humans
have
an
outstanding
ability
to
generalize
from
past
experiences,
which
requires
parsing
continuously
experienced
events
into
discrete,
coherent
units,
and
relating
them
similar
experiences.
Time
is
a
key
element
in
this
process;
however,
how
temporal
information
used
generalization
remains
unclear.
Latent-cause
inference
provides
Bayesian
framework
for
clustering
by
building
world
model
related
experiences
are
generated
shared
cause.
Here,
we
examine
latent-cause
inference,
using
novel
task
participants
see
“microbe”
stimuli
explicitly
report
the
latent
cause
(“strain”)
they
infer
each
microbe.
We
show
that
humans
incorporate
time
their
of
causes,
such
recently
inferred
causes
more
likely
be
again.
In
particular,
“persistent”
model,
one
observation
has
fixed
probability
continuing
next
observation,
explains
data
significantly
better
than
two
other
time-sensitive
models,
although
extensive
individual
differences
exist.
our
good
psychometric
properties,
highlighting
potential
use
quantifying
computational
psychiatry
or
neuroimaging
studies.
Data in Brief,
Journal Year:
2023,
Volume and Issue:
50, P. 109490 - 109490
Published: Aug. 9, 2023
After
watching
audiovisual
movies,
human
participants
produced
spoken
narrative
recollections
during
functional
magnetic
resonance
imaging
(fMRI);
presented
here
are
word-level
timestamps
of
their
speech,
temporally
aligned
to
the
publicly
shared
fMRI
data.
For
"FilmFestival"
dataset,
twenty
watched
ten
short
approximately
2-8
minutes
each.
"Sherlock"
seventeen
first
half
episode
BBC's
Sherlock
(48
minutes).
viewing,
then
verbally
described
what
they
remembered
about
movies
in
own
words.
Participants'
speech
was
recorded
using
an
MR-compatible
microphone.
The
audio
recordings
were
transcribed,
timestamped
by
a
forced
aligner;
missing
filled
manually
transcriptionists
referencing
recording.
Each
file
contains
participant's
recall
word
word,
onset
each
seconds
with
1/10th-second
precision,
and
corresponding
volume
number
(TR).
This
dataset
can
be
used
investigate
topics
such
as
naturalistic
memory
language
production.